University of Bamberg
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Social Sciences, Economics and Business Administration

Chair of Survey Statistics and Data Analysis

  1.  University of bamberg
  2. Faculties
  3. Social Sciences, Economics and Business Administration
  4. Subjects and Institutes
  5. Institute for Statistics
  6. Departments & Professorships
  7. Chair of Survey Statistics and Data Analysis
  8. Team
  9. Prof. Dr. Christian A?mann


Prof. Dr. Christian A?mann

Contact:

Office                     AS6/-01.07 (LIfBi)

Phone                    +49 (0)951/ 863-3423 (LIfBi)

Fax                        +49 (0)951/ 863-2532

Email                    christian.assmann(at)uni-bamberg.de

www.waxmann.com/artikelART104168
  • Henning, C., A?mann, C., Hedtrich, J., Ehrenfels, J., und Krampe, E. (2019): What Drives Participatory Policy Processes: Grassroot Activities, Scientific Knowledge or Donor Money? - A comparative policy network approach -, Social Networks, 58:78-104. DOI: 10.1016/j.socnet.2019.03.001
  • Mumm, R. und A?mann, C. (2018): Community-based Clustering of Height in Ethiopia, India, Peru, and Vietnam, American Journal of Physical Anthropology, 167:272-281. DOI: 10.1002/ajpa.23623.
  • A?mann, C.; Würbach, A.; Go?mann, S.; Gei?ler, F.; und Bela, A. (2017): Nonparametric multiple imputation for questionnaires with individual skip patterns and constraints: The case of income imputation in the National Educational Panel Study, Sociological Methods and Research, 46(4), pp. 864-897. DOI: 10.1177/0049124115610346.
  • A?mann, C.; Boysen-Hogrefe, J.; and Pape, M. (2016): Bayesian Analysis of Static and Dynamic Factor Models: An Ex-Post Approach towards the Rotation Problem, Journal of Econometrics, 192(1), pp. 190-206. DOI: 10.1016/j.jeconom.2015.10.010
  • Preising, M.; Suchomlinov, A.; Tutkuviene, J.; and A?mann, C. (2016): Modelling human height and weight: a Bayesian approach towards model comparison, European Journal of Clinical Nutrition. DOI: 10.1038/ejcn.2016.23.
  • A?mann, C. (2016): Multiple imputation as one tool to provide longitudinal databases for modelling human height and weight development, European Journal of Clinical Nutrition. DOI: 10.1038/ejcn.2016.22.
  • Ipsen, J.; Nowak-Szczepanska, N.; Gomula, A.; A?mann, C.; and Hermanussen, M.. (2016): The association of body height, height variability and inequality, Journal of Biological and Clinical Anthropology. 73/1, 1-6. DOI: 10.1127/anthranz/2015/0623.
  • A?mann, C.; Gaasch, C.; Pohl, S.; and Carstensen, C. H. (2015): Bayesian estimation in IRT models with missing values in background variables. Psychological Test and Assessment Modeling.
  • Hermanussen, M.; Scheffler, C.; Groth, D.; A?mann, C. (2015): Height and skeletal morphology in relation to modern life style, Journal of Physiological Antropology. Doi: 10.1186/s40101-015-0080-4
  • Hermanussen, M., Stec, K., A?mann, C., Meigen, C., and van Buuren, S. (2015): Synthetic Growth Charts, American Journal of Human Biology, DOI: 10.1002/ajhb.22759
  • Bogin, B.; Hermanussen, M.; Blum, W.; A?mann, C. (2015): Sex, Sport, IGF-1 and the community effect in height hypothesis, International Journal of Environmental Reseach and Public Health, 12, 4816-4832; DOI: 10.3390/ijerph120504816
  • Steinhauer, H.W.; A?mann, C.; Zinn, S.; Go?mann, S.; R?ssler, S. (2015): Sampling and Weighting Cohort Samples in Institutional Contexts. In: AStA Wirtschafts- und Sozialstatistisches Archiv, S. 1–27. DOI: 10.1007/s11943-015-0162-0.
  • Bahrami, S.; A?mann, C.; Meinfelder, F.; R?ssler, S (2015): A Split Questionnaire Survey Design for Data with Block Structure Correlation Matrix, erschienen in "Improving survey methods lessons from recent research", Hrsg.: Engel, U., Jann, B., Lynn, P., Scherpenzeel, A.,  Sturgis, P., Routledge.
  • Hermanussen, M; A?mann, C; Staub, K.; Groth, D.; Alt, C (2014): The impact of physical connectedness on body height in Swiss conscripts, Journal of Biological and Clinical Anthropology, accepted for publication, doi: 10.1127/0003-5548/2014/0466
  • A?mann, C., Boysen-Hogrefe, J, and Jannsen, N. (2013): Costs of Housing Crises: International Evidence, Bulletin of Economic Research, 65(4), 299-313, doi: 10.1111/j.1467-8586.2011.00408.x
  • A?mann, C. and Hermanussen, M. (2013): Determinants of growth: Evidence for a community-based target in height?, Pediatric Research, 74, 88-95, doi: 10.1038/pr.2013.50
  • A?mann, C. (2012): Determinants and Costs of Current Account Reversals under Heterogeneity and Serial Correlation, Applied Economics, 44(13), pp. 1685 - 1700, doi: 10.1080/00036846.2011.554370
  • A?mann, C.; Hermanussen, M.; W?hling, H.; and Zabransky, M. (2012): Harmonizing national growth references for multi-centre surveys, drug monitoring, and international postmarketing surveillance: the patch-work growth chart, Acta Paediatrica 101(1), 78-84, doi: 10.1111/j.1651-2227.2011.02415.x
  • A?mann, C. and Boysen-Hogrefe, J. (2012): Determinants of government bond spreads in the Euro area - in good times as in bad, Empirica: Journal of European Economics, 39, pp. 341-356, doi:10.1007/s10663-011-9171-6
  • A?mann, C. and Boysen-Hogrefe, J. (2011): A Bayesian Approach to Model-Based Clustering for Binary Panel Probit Models, Computational Statistics & Data Analysis 55(1), 261-279, doi:10.1016/j.csda.2010.04.016
  • A?mann, C. and Boysen-Hogrefe, J. (2010): Analysis of Current Account Reversal via Regime Switching Models, Economic Change and Restructuring 43(1), 21-43, doi:10.1007/s10644-009-9076-6
  • A?mann, C., Hermanussen, M. and Tutkuviene, J. (2010): Statistical agreement and cost-benefit: can we replace established empirical methods for constructing growth reference charts?,  Annals of Human Biology 37(1), 57-69, doi:10.\-3109/03014460903173379
  • A?mann, C., Boysen-Hogrefe, J. and Liesenfeld, R. (2009): The Decline in German Output Volatility: A Bayesian Analysis, Empirical Economics 37(3), 653-679, doi:10.1007/s00181-008-0251-9
  • A?mann, C. and Boysen-Hogrefe, J. (2009): Dynamic multi-sector CGE modeling and the specification of capital: Comment on Farmer and Wendner (2004), Structural Change and Economic Dynamics 20(1), 74-75, doi:10.1016/j.strueco.2007.11.002

    • Guest editor

    • Pohl, S., & A?mann, C., (2015). Missing values in large scale assessments [Special issue]. Psychological Test and Assessment Modeling, Volume 57 (4), 469-471

    Monographs

    • A?mann, C. (2004). Timing and Detecting Structural Breaks. Diplomarbeit, Christian-Albrechts-Universit?t zu Kiel.
    • A?mann, C. (2009). An empirical analysis of current account data. Dissertation, Christian-Albrechts-Universit?t zu Kiel, Bayesian Analysis of Failure Time Data using P-Splines - 2014 (Springer BestMasters 2014: Pr?mierung der Masterarbeit von Matthias Kaeding, M. Sc.)
    • Analyse von Paneldaten mittels Bootstrap-Algorithmen - 2013
    • Finite Mischverteilungen zur Fehlleistungskostenanalyse - 2012